Personalized interaction is a conversational or interface exchange that adapts in real time to the specific user it is engaging, using their context, history, and inferred state. Unlike static personalization of content, it tailors the moment-to-moment dialogue, tone, and follow-ups based on prior turns and behavioural feedback. It is central to adaptive assistants that improve as they learn an individual’s patterns.
Content
- The system maintains a model of the user across turns, conditioning each response on conversational history, expressed preferences, and observed reactions, then refines its behaviour as new feedback arrives. This produces interactions that grow more relevant over time, but requires careful state management and privacy controls to avoid drift, over-fitting to noise, or unwelcome inference about the user.